African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6578

Full Length Research Paper

Fuzzy simulation of bioclimatic indexes environments with and without cover for Santa Inês sheep farms

Indira Cristiane Moreira Goncalves
  • Indira Cristiane Moreira Goncalves
  • Departamento de em Engenharia Agrícola, Universidade Federal de Campina Grande - UFCG, Campina Grande-PB, Brazil.
  • Google Scholar
Jose Pinheiro Lopes Neto
  • Jose Pinheiro Lopes Neto
  • Departamento de em Engenharia Agrícola, Universidade Federal de Campina Grande - UFCG, Campina Grande-PB, Brazil.
  • Google Scholar
Jose Henrique Souza Costa
  • Jose Henrique Souza Costa
  • Departamento de em Engenharia Agrícola, Universidade Federal de Campina Grande - UFCG, Campina Grande-PB, Brazil.
  • Google Scholar
Luana de Fatima Damasceno dos Santos
  • Luana de Fatima Damasceno dos Santos
  • Departamento de em Engenharia Agrícola, Universidade Federal de Campina Grande - UFCG, Campina Grande-PB, Brazil.
  • Google Scholar
Dermeval Araujo Furtado
  • Dermeval Araujo Furtado
  • Departamento de em Engenharia Agrícola, Universidade Federal de Campina Grande - UFCG, Campina Grande-PB, Brazil.
  • Google Scholar
Jose Wallace Barbosa do Nascimento
  • Jose Wallace Barbosa do Nascimento
  • Departamento de em Engenharia Agrícola, Universidade Federal de Campina Grande - UFCG, Campina Grande-PB, Brazil.
  • Google Scholar
Ricardo Romao Guerra
  • Ricardo Romao Guerra
  • Departamento de Medicina Veterinária, Universidade Federal da Paraíba - UFPB, Areia – PB, Brazil.
  • Google Scholar


  •  Received: 13 February 2017
  •  Accepted: 04 April 2017
  •  Published: 04 May 2017

Abstract

This study aimed to analyze bioclimatic indexes: black globe temperature and humidity index (BGHI) and radiant thermal load (RTL) in Santa Inês sheep farms, with and without coverage to develop a fuzzy logical computational model to forecast variables analyzed experimentally. Ten Santa Inês sheep were placed in two cover paddocks, and one without cover. Data recorded were: air temperature schedules and black globe (°C), relative humidity (%) and wind speed (m s-1), and BGHI and RTL were calculated. Computational models were developed using fuzzy logic which had as input variables, air temperature (°C) relative humidity (%) for the output variables BGHI and RTL. Based on the experimental data, there were also certain relevance curves that conform more to the results for the model generation via Fuzzy logic. The Mandani inference method was used for the preparation of rules and defuzzification of the center of gravity method was applied. The results showed that in the critical periods, 12 to 14 h, coverage was insufficient to differentiate between stress environments. It was also found that the Fuzzy models compared with the experimental data were highly correlated with R² equal to 0.99, proving it is suitable for implementation in practice.

 

Key words: Computational model, heat stress, shelter, simulation.

Abbreviation

BGHI, Black globe temperature and humidity index; RTL, radiant thermal load; AT, air temperaure; RH, relative humidity; BGT, black globe temperature; WS, wind speed.